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In the simple regression models, what we had under the hood was a mathematical model in order to figure out the relationships between the features. The order of the observations we passed to the model was not informative. In the training set, we had about 20,000 load values yet our statistical models at best were looking back very little in time in their mathematical definitions. We tried to carry this information as additional features in SVM/MLP but this strategy has its own limitations in practice.